Clustering surgical procedures for master surgical scheduling

Kressner, Alexander; Schimmelpfeng, Katja

Clustering surgical procedures for master surgical scheduling

dc.contributor.author	Kressner, Alexander	de
dc.contributor.author	Schimmelpfeng, Katja	de
dc.date.accessioned	2024-04-08T08:54:55Z
dc.date.available	2024-04-08T08:54:55Z
dc.date.created	2017-09-28
dc.date.issued	2017
dc.description.abstract	The sound management of operating rooms is a very important task in each hospital. To use this crucial resource efficiently, cyclic master surgery schedules are often developed. To derive sensible schedules, high-quality input data are necessary. In this paper, we focus on the (elective) surgical procedures’ stochastic durations to determine reasonable, cyclically scheduled surgical clusters. Therefore, we adapt the approach of van Oostrum et al (2008), which was specifically designed for clustering surgical procedures for master surgical scheduling, and present a two-stage solution approach that consists of a new construction heuristic and an improvement heuristic. We conducted a numerical study based on real-world data from a German hospital. The results reveal clusters with considerably reduced variability compared to those of van Oostrum et al(2008).	en
dc.identifier.swb	493887539
dc.identifier.uri	https://hohpublica.uni-hohenheim.de/handle/123456789/6197
dc.identifier.urn	urn:nbn:de:bsz:100-opus-14123
dc.language.iso	eng
dc.relation.ispartofseries	Hohenheim discussion papers in business, economics and social sciences; 2017,28
dc.rights.license	publ-mit-pod	en
dc.rights.license	publ-mit-pod	de
dc.rights.uri	http://opus.uni-hohenheim.de/doku/lic_mit_pod.php
dc.subject	Master surgery scheduling (MSS)	en
dc.subject	Stochastic surgery duration	en
dc.subject	Surgery types	en
dc.subject	Clustering	en
dc.subject.ddc	300
dc.subject.gnd	Krankenhaus	de
dc.subject.gnd	Operation	de
dc.subject.gnd	Ablaufplanung	de
dc.title	Clustering surgical procedures for master surgical scheduling	de
dc.type.dcmi	Text	de
dc.type.dini	WorkingPaper	de
local.access	uneingeschränkter Zugriff	en
local.access	uneingeschränkter Zugriff	de
local.bibliographicCitation.publisherPlace	Universität Hohenheim	de
local.export.bibtex	@techreport{Kressner2017, url = {https://hohpublica.uni-hohenheim.de/handle/123456789/6197}, author = {Kressner, Alexander and Schimmelpfeng, Katja}, title = {Clustering surgical procedures for master surgical scheduling}, year = {2017}, school = {Universität Hohenheim}, series = {Hohenheim discussion papers in business, economics and social sciences}, }
local.export.bibtexAuthor	Kressner, Alexander and Schimmelpfeng, Katja
local.export.bibtexKey	Kressner2017
local.export.bibtexType	@techreport
local.faculty.number	3	de
local.institute.number	580	de
local.opus.number	1412
local.series.issueNumber	2017,28
local.series.title	Hohenheim discussion papers in business, economics and social sciences
local.university	Universität Hohenheim	de
local.university.faculty	Fakultät Wirtschafts- und Sozialwissenschaften	de
local.university.institute	Institut für Interorganisational Management & Performance	de

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